Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/5467#discussion_r28360421
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala ---
@@ -431,6 +431,14 @@ class Word2Vec extends Serializable with Logging {
class Word2VecModel private[mllib] (
private val model: Map[String, Array[Float]]) extends Serializable
with Saveable {
+ private val numDim = model.head._2.size
--- End diff --
Use "vectorSize" instead of "numDim" to mimic Word2Vec class.
Better yet, move this and flatVec into a constructor or closure which sets
up wordVecMat, wordVec (since this and flatVec are not used anywhere else)
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